DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > DuckDB vs. InfluxDB vs. SingleStore

System Properties Comparison DuckDB vs. InfluxDB vs. SingleStore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSDBMS for storing time series, events and metricsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#282  Overall
#131  Relational DBMS
Score30.09
Rank#28  Overall
#1  Time Series DBMS
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websiteduckdb.orgwww.influxdata.com/­products/­influxdb-overviewwww.singlestore.com
Technical documentationduckdb.org/­docsdocs.influxdata.com/­influxdbdocs.singlestore.com
DeveloperSingleStore Inc.
Initial release201820132013
Current release0.2, August 20202.0.8, August 20217.6, November 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++GoC++, Go
Server operating systemsserver-lessLinux
OS X infothrough Homebrew
Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsCLI Client
JDBC
HTTP API
JSON over UDP
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesC
C++
Go info3rd party driver
Java
Python
R
Ruby info3rd party driver
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlySource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlnosimple rights management via user accountsFine grained access control via users, groups and roles
More information provided by the system vendor
DuckDBInfluxDBSingleStore infoformer name was MemSQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
F ree Tier and Enterprise Edition
» more
News

Telegraf Best Practices: Config Recommendations and Performance Monitoring
18 January 2022

Volvo Uses InfluxDB to Evolve Its DevOps Monitoring to Enable Data-Driven Decisions
14 January 2022

HighByte and InfluxDB Provide Critical OEE Data for Manufacturing Companies
13 January 2022

Early Detection a Boon for Manufacturer Texas Instruments
12 January 2022

Apple M1 and RISC-V Support for Telegraf
12 January 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DuckDBInfluxDBSingleStore infoformer name was MemSQL
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Conferences and events

Turbocharge Your Open-Source DB to Drive 100x Faster Performance
Webinar, 10am PT, 18 January 2022 (finished)

Recent citations in the news

New CWI spin-off company DuckDB Labs: Solutions for fast database analytics
14 July 2021, Centrum Wiskunde & Informatica (CWI)

Apache Arrow 6 Improves Support For R and Rust
22 November 2021, iProgrammer

Apache Arrow 5 Improves Asynchronous Scanner
16 August 2021, iProgrammer

4 predictions for open source in 2021
29 December 2020, IDG Connect

14 Open Source SQL Parsers
8 October 2021, hackernoon.com

provided by Google News

InfluxDB and IoT: Arduino Microcontroller Best Practices – The New Stack
5 January 2022, thenewstack.io

Using Rustlang's Async Tokio Runtime for CPU-Bound Tasks – The New Stack
14 January 2022, thenewstack.io

Virtual world predictions for 2022
19 January 2022, App Developer Magazine

Getting Started with R and InfluxDB – The New Stack
17 December 2021, thenewstack.io

InfluxDB updates aimed at making it easier to build time-series database apps
26 October 2021, SiliconANGLE News

provided by Google News

What's Next: Managing Data in Cloud Native Environments – The New Stack
18 January 2022, thenewstack.io

Real-time database platform SingleStore raises $80M more, now at a $940M valuation
8 September 2021, TechCrunch

Database startup SingleStore raises $80M
8 September 2021, VentureBeat

SingleStore says it's the world's first database to support analytical and transactional workloads
23 June 2021, SiliconANGLE News

What's Changed: 2021 Gartner Magic Quadrant for Cloud Database Management Systems
13 January 2022, Solutions Review

provided by Google News

Job opportunities

Senior Data Engineer
Solidigm, Folsom, CA

Software Engineer, University Graduate
SingleStore, San Francisco, CA

Software Engineer, Database Engine
SingleStore, San Francisco, CA

Senior Software Engineer, Database Engine
SingleStore, San Francisco, CA

Software Engineer, Managed Service
SingleStore, Seattle, WA

Technical Program Manager
SingleStore, North Carolina

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here